This five-day, case-study based course with extensive hands-on exercises covers advanced topics in business analytics using the R statistical software. Participants will develop a deeper understanding of concepts like classification, regression, time series forecasting, sentiment analysis, market basket analysis, clustering and usage of the R statistical software. The course provides participants with the knowledge and essential skills needed to address the challenges of data intensive decision-making environments.
This course is conducted by the Computer Science and Engineering Department, Indian Institute of Technology, Hyderabad.
Course dates: December 24(Wednesday), 2014 to December 28(Sunday), 2014.
Course details
Participants of this course will obtain skills required for a successful career in predictive analytics, including the ability to analyze large data sets and to develop modeling solutions to support decision making. Hands on training will be given using R statistical software.
Eligibility criteria
Participants should have basic knowledge in statistics, good mathematical maturity and experience in any programming language.
Course content
Download Course Content
This five-day, case-study based course with extensive hands-on exercises covers advanced topics in business analytics using the R statistical software. Participants will develop a deeper understanding of concepts like classification, regression, time series forecasting, sentiment analysis, market basket analysis, clustering and usage of the R statistical software. The course provides participants with the knowledge and essential skills needed to address the challenges of data intensive decision-making environments.
This course is conducted by the Computer Science and Engineering Department, Indian Institute of Technology, Hyderabad.
Course dates: December 24(Wednesday), 2014 to December 28(Sunday), 2014.
Course details
Participants of this course will obtain skills required for a successful career in predictive analytics, including the ability to analyze large data sets and to develop modeling solutions to support decision making. Hands on training will be given using R statistical software.
Eligibility criteria
Participants should have basic knowledge in statistics, good mathematical maturity and experience in any programming language.
Course content
Download Course Content


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